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VOL. 2, ISSUE 4 (2020)
Assessment of genetic variability, correlation and path coefficients in advanced breeding lines of rice (Oryza sativa L.) under irrigated conditions of command area
Authors
Mahamadali MG, Dushyanthakumar BM, Madhuri R, Gangaprasad S, Hugar AY, Mallikarjuna HB
Abstract
The experiment was conducted during Kharif 2019 across three locations viz., ZAHRS, Shivamogga, AHRS, Honnavile and AHRS, Bavikere to evaluate 29 advanced breeding lines of rice including three checks in randomized complete block design with two replications for variability, correlation and path coefficients analysis for yield and its attributing traits. For all the characters examined, ANOVA reported significant differences among all the advanced breeding lines. For the traits viz., number of spikelets per panicle, number of filled grains per panicle recorded high PCV and GCV values, while for plant height, test weight, L/B ratio and grain yield reported moderate PCV and GCV. High heritability coupled with high genetic advance recorded in traits viz., number of filled grains per panicle, number of spikelets per panicle, test weight, L/B ratio and grain yield. The characters such as number of tillers per plant, number of productive tillers per plant, panicle length, and number of spikelets per panicle, number of filled grains per panicle, panicle fertility, test weight and L/B ratio had a positive significant correlation with grain yield. Six traits out of 12 traits had a positive and direct effect on grain yield viz., days to 50 per cent flowering, number of tillers per plant, panicle length, number of spikelets per panicle, panicle fertility and L/B ratio.
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Pages:260-267
How to cite this article:
Mahamadali MG, Dushyanthakumar BM, Madhuri R, Gangaprasad S, Hugar AY, Mallikarjuna HB "Assessment of genetic variability, correlation and path coefficients in advanced breeding lines of rice (<em>Oryza sativa</em> L.) under irrigated conditions of command area". International Journal of Ecology and Environmental Sciences, Vol 2, Issue 4, 2020, Pages 260-267
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